DBMS > Amazon Neptune vs. Microsoft SQL Server vs. OpenEdge
System Properties Comparison Amazon Neptune vs. Microsoft SQL Server vs. OpenEdge
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|Editorial information provided by DB-Engines|
|Name||Amazon Neptune Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||OpenEdge Xexclude from comparison|
|Description||Fast, reliable graph database built for the cloud||Microsofts relational DBMS||Application development environment with integrated database management system|
|Primary database model||Graph DBMS|
|Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Amazon||Microsoft||Progress Software Corporation|
|Current release||SQL Server 2017, October 2017||OpenEdge 11.7, March 2017|
|License Commercial or Open Source||commercial||commercial restricted free version is available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|SQL Support of SQL||no||yes||yes close to SQL 92|
|APIs and other access methods||RDF 1.1 / SPARQL 1.1|
TinkerPop Gremlin 3.3
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Progress proprietary ABL (Advanced Business Language)|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes|
|Partitioning methods Methods for storing different data on different nodes||none||tables can be distributed across several files (horizontal partitioning); sharding through federation||horizontal partitioning since Version 11.4|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones high availability, asynchronous replication for up to 15 read replicas||yes, but depending on the SQL-Server Edition||Master-slave replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes Relationships in graphs||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes with encyption-at-rest||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||Users and groups|
More information provided by the system vendor
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|Amazon Neptune||Microsoft SQL Server||OpenEdge|
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|Conferences and events|
PASS Summit 2019
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